2022-11-23 21:00:10 +00:00
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date: '2022-11-23T20:52:10'
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- 2022.naacl-main.167.pdf
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- exact: "Insum, notwithstanding prompt-based models\u2019impressive improvement,\
\ we find evidence ofserious limitations that question the degree towhich\
\ such improvement is derived from mod-els understanding task instructions\
\ in waysanalogous to humans\u2019 use of task instructions."
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source: https://aclanthology.org/2022.naacl-main.167.pdf
text: although prompts seem to help NLP models improve their performance, the authors
find that this performance is still present even when prompts are deliberately
misleading which is a bit weird
updated: '2022-11-23T20:52:10.292273+00:00'
uri: https://aclanthology.org/2022.naacl-main.167.pdf
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display_name: James Ravenscroft
in-reply-to: https://aclanthology.org/2022.naacl-main.167.pdf
tags:
- prompt-models
- NLProc
- hypothesis
2022-11-26 06:57:18 +00:00
type: annotation
url: /annotation/2022/11/23/1669236730
2022-11-23 21:00:10 +00:00
---
< blockquote > Insum, notwithstanding prompt-based models’ ’ < / blockquote > although prompts seem to help NLP models improve their performance, the authors find that this performance is still present even when prompts are deliberately misleading which is a bit weird
